论文标题
尽管存在强烈的少数族裔和社会行为，但交叉抑制仍导致团体共识
Cross-inhibition leads to group consensus despite the presence of strongly opinionated minorities and asocial behaviour
论文作者
论文摘要
强烈的少数民族对人口众多的观点动态会产生巨大影响。两种不灵活的少数族裔的派系两极化，分为两种相互竞争的意见，可能会导致整个人口持续犹豫不决。同等地，当个人根据个人信息而不是社会信息偶发地改变意见时，人口可能保持不确定。我们的分析将交叉抑制模型与选民模型进行了比较，以在同样好的替代方案之间进行决策，并将加权选民模型与以不同品质为特征的替代方案之间的决策进行了比较。在这里，我们表明，交叉抑制与其他两个模型不同，是一种简单的机制，在集体生物系统中无处不在，即使在存在社会行为的情况下，人口也可以以一种替代方案达到稳定的多数。平均场模型预测的结果通过100个本地相互作用的机器人的群的实验证实。这项工作提出了一个长期存在的问题，即为什么抑制性信号在集体决策的自然系统中广泛存在，同时，它提出了一种有效的机制来设计弹性的简约机器人。
Strongly opinionated minorities can have a dramatic impact on the opinion dynamics of a large population. Two factions of inflexible minorities, polarised into two competing opinions, could lead the entire population to persistent indecision. Equivalently, populations can remain undecided when individuals sporadically change their opinion based on individual information rather than social information. Our analysis compares the cross-inhibition model with the voter model for decisions between equally good alternatives, and with the weighted voter model for decisions among alternatives characterised by different qualities. Here we show that cross-inhibition, differently from the other two models, is a simple mechanism, ubiquitous in collective biological systems, that allows the population to reach a stable majority for one alternative even in the presence of asocial behaviour. The results predicted by the mean-field models are confirmed by experiments with swarms of 100 locally interacting robots. This work suggests an answer to the longstanding question of why inhibitory signals are widespread in natural systems of collective decision making, and, at the same time, it proposes an efficient mechanism for designing resilient swarms of minimalistic robots.
